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Noise benefits in Markov chain Monte Carlo computation
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Random forests and diffusion flow
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Nonlocal Monte Carlo approaches: helium clusters and nucleic acids
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Probabilistic methods and randomized algorithms
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Calibration of iron-mediated MRI relaxation by Monte Carlo modeling
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Power and sample size calculations for nested case-control studies
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Theoretical foundations of approximate Bayesian computation
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On the latent change score model in small samples
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A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling
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Incorporating uncertainty in design parameters: a hybrid classical-Bayesian power analysis approach for two-level cluster randomized trials
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Using classification and regression trees (CART) and random forests to address missing data
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Between genes and phenotypes: an integrative network-based Monte Carlo method for the prediction of human-gene phenotype associations
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Evaluating standard error estimators for multilevel models on small samples with heteroscedasticity and unbalanced cluster sizes
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Quantum Monte Carlo methods for fermionic systems in chemical physics
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A Monte Carlo Evaluation Of Interactive Multidimensional Scaling
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The bootstrap filter:  A Monte Carlo method for nonlinear filtering
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Stochastic models: simulation and heavy traffic analysis
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Inference correction in measurement error models with a complex dosimetry system
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An application of Markov chain model in board game revised
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Bayesian estimation using Markov chain Monte Carlo methods in pharmacokinetic system analysis
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Correcting for shared measurement error in complex dosimetry systems
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Model, identification & analysis of complex stochastic systems: applications in stochastic partial differential equations and multiscale mechanics
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Essays on bioinformatics and social network analysis: statistical and computational methods for complex systems
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Nonlinear modeling and machine learning methods for environmental epidemiology
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Item bias detection methods for small samples
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